Hybrid Super-Resolution Combining Example-Based Single-Image and Interpolation-Based Multi-Image Reconstruction Approaches

Conference contribution


Publication Details

Author(s): Bätz M, Eichenseer A, Seiler J, Jonscher M, Kaup A
Publication year: 2015
Pages range: 58-62
ISSN: 1522-4880
Language: English


Abstract


Achieving a higher spatial resolution is of particular interest in many applications such as video surveillance and can be realized by employing higher resolution sensors or applying super-resolution methods. Traditional super-resolution algorithms are based on either a single low resolution image or on multiple low resolution frames. In this paper, a hybrid super-resolution method is proposed which combines both a single-image and a multi-image approach using a soft decision mask. The mask is computed from the motion information utilized in the multi-image super-resolution part. This concept is shown to work for one particular setup but is also extensible toward other combinations of single-image and multi-image super-resolution algorithms as well as other merging metrics. Simulation results show an average luminance PSNR gain of up to 0.85 dB and 0.59 dB for upscaling factors of 2 and 4, respectively. Visual results substantiate the objective results.



FAU Authors / FAU Editors

Bätz, Michel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Eichenseer, Andrea
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Jonscher, Markus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Bätz, M., Eichenseer, A., Seiler, J., Jonscher, M., & Kaup, A. (2015). Hybrid Super-Resolution Combining Example-Based Single-Image and Interpolation-Based Multi-Image Reconstruction Approaches. (pp. 58-62). Quebec City, CA.

MLA:
Bätz, Michel, et al. "Hybrid Super-Resolution Combining Example-Based Single-Image and Interpolation-Based Multi-Image Reconstruction Approaches." Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), Quebec City 2015. 58-62.

BibTeX: 

Last updated on 2018-02-08 at 17:23